Machine Learning Platform Engineer, Apple Services Engineering

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$258,100 / yr
Posted
17 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $215k
$161k most similar roles pay here $273k

This role pays more than 50% of similar roles. Most pay $190,150–$249,750 — the shaded band above. At the midpoint, this role pays about $215k versus about $220k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Platform Engineer, Apple Services Engineering

As a Machine Learning Platform Engineer at Apple Services Engineering, you will join a dynamic team responsible for developing the evaluation platform that supports all of Apple’s generative AI and agent systems. Your role involves building APIs, SDKs, orchestration components, and evaluation runners using Python and other modern tools like FastAPI and Pydantic. You’ll collaborate closely with research engineers to productionize ML prototypes into reliable services while ensuring high developer experience through clean abstractions and ergonomic SDKs. With a strong focus on operational ownership, you will write tests, set up CI/CD pipelines, and monitor metrics in production environments. This role requires 4-8 years of software engineering experience, proficiency with AI coding tools, hands-on evaluation expertise, and solid understanding of LLMs in production settings.

What you'll do

  • Build and own features and services within the evaluation platform using Python.
  • Translate research prototypes into reliable production services in collaboration with research engineers.
  • Balance speed and responsibility when implementing solutions, ensuring thorough testing and careful rollouts as needed.
  • Continuously improve the codebase by addressing issues like flaky tests, slow builds, and outdated documentation.
  • Develop SDKs and abstractions to enhance developer experience for evaluating models and agents across Apple teams.
  • Ensure operational readiness of deployed services by writing tests, setting up CI/CD pipelines, and monitoring metrics.

What we're looking for

  • 4-8 years of software engineering experience building production services.
  • Proficient in Python with expertise in FastAPI, Pydantic, and modern Python ecosystem.
  • Experience with AI coding tools like Claude Code for daily workflow.
  • Familiarity with agentic LLM landscape including tool use and production systems.
  • Hands-on evaluation experience with frameworks like Inspect or Braintrust.
  • Real-world knowledge of LLMs in production, including prompt iteration and dataset curation.

More like this

Similar roles

Machine Learning Engineer, Apple Store Online

Apple Inc

Austin, TX 8 days ago
Spark TensorFlow Keras PyTorch Python SQL Snowflake Hadoop CI/CD MLOps Scalability Big_Data Feature_Engineering Deep_Learning Reinforcement_Learning Probabilistic_Graphical_Models Model_Monitoring